Features, use cases, pros and cons, and pricing side by side — and which one to pick.
Quick verdict: Pick Fairing if you want a free, usage-based entry point; pick Qwary if you need AI-powered CX analysis, segmented NPS, and enterprise-grade support.
Best for: DTC Shopify brands spending significantly on paid social who want to verify platform-reported ROAS against customer-stated answers, Influencer and creator marketing teams that need to credit channels generating no click data
Read the full Fairing reviewBest for: CX teams that need to understand open-text feedback at scale, Companies running serious NPS programs with segmentation by team, region, or client
Read the full Qwary reviewCommission may apply at no extra cost
Compare key features side by side
Feature Comparison Summary
Fairing asks buyers how they found you at the exact moment they convert, then syncs those zero-party answers to TikTok, Meta, Klaviyo, GA4, Google Sheets, and Segment. It surfaces dark-social and influencer channels that click-based tools miss, though answers are directional and paid usage tiers scale with volume. Overall, it's a low-risk, well-integrated way to recover attribution signal your analytics can't see.
Qwary combines survey building, multi-channel collection, and AI analysis in one CX platform. Its standout strengths are automatic theme tagging, NPS driver analysis, and shareable dashboards, though Starter caps are tight and published pricing conflicts. Overall, it's a solid pick for CX teams that need to understand feedback, not just collect it.
Fairing is an attribution survey platform built for marketing teams that want to measure performance beyond clicks. Its core deployment is the Shopify post-purchase survey, which captures zero-party customer insights at the moment of conversion; it also runs on custom consumer and B2B apps. The premise is simple: rather than inferring channel performance from tracking pixels alone, ask the customer directly and connect those answers to the rest of your data stack.
Qwary is a customer experience (CX) and product feedback platform. Based on its website, it combines survey building, multi-channel collection, and AI analysis in one place. Teams use it to run NPS programs, read open-text feedback at scale, and share live dashboards. It's aimed at CX leaders, product teams, and operations groups that want insight from feedback — not just a place to store it.
List prices from each vendor's pricing page, before taxes and add-ons. Costs are per month.
| Pricing compared | Fairing | Qwary |
|---|---|---|
| From (cheapest paid plan) | $49/mo Core, up to 500 orders/mo | $199/mo Starter |
| Free plan | Yes | No |
| Free trial | Not stated | Yes |
| Money-back guarantee | Not stated | Not stated |
| Annual billing savings | — | — |
| Pricing model | Flat price | Flat price |
| Cost for 1 user | FreeCheaper Free plan, billed annually | $199/mo Starter plan, billed annually |
| Cost for 5 users | $49/mo Core, up to 500 orders/mo plan, billed monthly · price per account (user limit not stated) | $199/mo Starter plan, billed annually · price per account (user limit not stated) |
| Cost for 10 users | $49/mo Core, up to 500 orders/mo plan, billed monthly · price per account (user limit not stated) | $199/mo Starter plan, billed annually · price per account (user limit not stated) |
| Cost for 25 users | $49/mo Core, up to 500 orders/mo plan, billed monthly · price per account (user limit not stated) | $199/mo Starter plan, billed annually · price per account (user limit not stated) |
| Plans | 9 | 2 |
| Prices checked | Checked Oct 13, 2026 | Checked Oct 12, 2026 |
| Price history | Tracking prices since Sep 30, 2026. No price change detected yet. | Tracking prices since Oct 9, 2026. No price change detected yet. |
For 1 user (billed annually), Fairing costs $0/mo vs Qwary at $199/mo.
Computed from published list prices on the dates shown. Excludes taxes, add-ons and promotions.
Qwary. It's built for CX teams, with AI sentiment tagging, segmented NPS, and live dashboards. Fairing's public details don't cover these capabilities, so comparison is hard.